Triple

T4463172
Position Surface form Disambiguated ID Type / Status
Subject Lincoln Financial Group E98305 entity
Predicate tickerSymbol P1447 FINISHED
Object LNC
LNC is the stock ticker symbol for Lincoln Financial Group, a major U.S.-based provider of insurance and financial services.
 E441412 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: LNC | Statement: [Lincoln Financial Group, tickerSymbol, LNC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LNC
Context triple: [Lincoln Financial Group, tickerSymbol, LNC]
  • A. LCN
    LCN is the National Rail station code for Lincoln railway station in Lincoln, England.
  • B. LIN
    LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
  • C. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • D. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • E. LNS
    LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LNC
Triple: [Lincoln Financial Group, tickerSymbol, LNC]
Generated description
LNC is the stock ticker symbol for Lincoln Financial Group, a major U.S.-based provider of insurance and financial services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LNC
Target entity description: LNC is the stock ticker symbol for Lincoln Financial Group, a major U.S.-based provider of insurance and financial services.
  • A. LCN
    LCN is the National Rail station code for Lincoln railway station in Lincoln, England.
  • B. LIN
    LIN is the three-letter IATA airport code for Milan Linate Airport, one of the main airports serving Milan, Italy.
  • C. LN1
    LN1 is the first French high-speed rail line (LGV Sud-Est), connecting Paris to Lyon and pioneering the TGV network.
  • D. LNS
    LNS is the commonly used abbreviation for the Laboratory for Nuclear Science, a research institution focused on advancing the understanding of nuclear and particle physics.
  • E. LNS
    LNS is the commonly used abbreviation for Lindsey Nelson Stadium, the University of Tennessee’s baseball venue in Knoxville.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69b3454a7c608190944f5455c8031d73 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b3567716a4819092a5bc9732e74592 completed March 13, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6284b90708190b557b66bd7533f4e completed March 15, 2026, 3:32 a.m.
NEDg Description generation batch_69b62954b77c8190968f844514656415 completed March 15, 2026, 3:36 a.m.
NED2 Entity disambiguation (via description) batch_69b62a0cd92c8190a9eee2a9d73fb679 completed March 15, 2026, 3:39 a.m.
Created at: March 12, 2026, 11:34 p.m.